fbtgTS: Time specific utilization distribution

In jedalong/wildlifeTG: Time Geograhic Analysis of Wildlife Telemetry Data

Description

Calculate the utilization distribution of an animal using the field-based time geographic model for a specific time.

Usage

fbtgTS(traj, tk, tl, timefun = "inverse", sigma = 0, c2 = 1,
  clipPPS = TRUE)

Arguments

traj	animal movement trajectory in the form of an ltraj object, see package adehabitatLT
tk	time to compute the probability surface, ta < tk < tb.
tl	a TransitionLayer object
timefun	method for convertingtime into probability; one of: – 'inverse' = \frac{1}{c_2 * t}, – 'inverse2' = \frac{1}{(c_2 * t)^2}, – 'exp' = \exp{-c_2 * t}, – 'norm' = \exp{-c_2 * t^2}, – 'rootexp' = \exp{-c_2 * √{t}}, – 'pareto' = \exp{-c_2 * \log{t}}, – 'lognorm'= \exp{-c_2 * \log{t^2}}.
sigma	locational uncertainty parameter for Guassian error kernel, default=0.
c2	Parameter input into timefun default=1, see details.
clipPPS	(logical) whether or not the output probabilities should be clipped to the potential path space, default=TRUE.

Details

Calculates the field-based time geography probability surface for an animal for a chosen time - often called a time slice. Field-based time geography is based on an underlying resistance surface, which constrains potential movement by the animal between two location fixes. The output probability surface represents the probability of finding an animal in a given location at the input time, based on the field-based time geography movement model.

Value

This function returns a RasterLayer which can be used to estimate the time specific UD of an animal.

See Also

dynppa, fbtgUD, volras

jedalong/wildlifeTG documentation built on July 17, 2019, 2:52 p.m.